Antineoplastic therapy may impair the survival of malignant cells to produce cell death. Consequently, direct measurement of tumor cell death in vivo is a highly desirable component of therapy response monitoring. We have previously shown that APOMAB® representing the DAB4 clone of a La/SSB-specific murine monoclonal autoantibody is a malignant cell-death ligand, which accumulates preferentially in tumors in an antigen-specific and dose-dependent manner after DNA-damaging chemotherapy. Here, we aim to image tumor uptake of APOMAB® (DAB4) and to define its biological correlates.
Brisk tumor cell apoptosis is induced in the syngeneic EL4 lymphoma model after treatment of tumor-bearing mice with DNA-damaging cyclophosphamide/etoposide chemotherapy. Tumor and normal organ accumulation of Indium 111 (111In)-labeled La-specific DAB4 mAb as whole IgG or IgG fragments was quantified by whole-body static imaging and organ assay in tumor-bearing mice. Immunohistochemical measurements of tumor caspase-3 activation and PARP-1 cleavage, which are indicators of early and late apoptosis, respectively, were correlated with tumor accumulation of DAB4. Increased tumor accumulation of DAB4 was associated directly with both the extent of chemotherapy-induced tumor cell death and DAB4 binding per dead tumor cell. Tumor DAB4 accumulation correlated with cumulative caspase-3 activation and PARP-1 cleavage as tumor biomarkers of apoptosis and was directly related to the extended median survival time of tumor-bearing mice.
Radiolabeled La-specific monoclonal antibody, DAB4, detected dead tumor cells after chemotherapy, rather than chemosensitive normal tissues of gut and bone marrow. DAB4 identified late apoptotic tumor cells in vivo. Hence, radiolabeled DAB4 may usefully image responses to human carcinoma therapy because DAB4 would capture the protracted cell death of carcinoma. We believe that the ability of radiolabeled DAB4 to rapidly assess the apoptotic tumor response and, consequently, to potentially predict extended survival justifies its future clinical development as a radioimmunoscintigraphic agent.
This article is part I of a two-part series providing proof-of-concept for the the diagnostic and therapeutic use of a La-specific monoclonal antibody, the DAB4 clone of which is represented by the registered trademark, APOMAB®.
Citation: Al-Ejeh F, Darby JM, Tsopelas C, Smyth D, Manavis J, Brown MP (2009) APOMAB®, a La-Specific Monoclonal Antibody, Detects the Apoptotic Tumor Response to Life-Prolonging and DNA-Damaging Chemotherapy. PLoS ONE 4(2): e4558. doi:10.1371/journal.pone.0004558
Editor: Andrew Boswell, Genentech, United States of America
Received: December 15, 2008; Accepted: January 16, 2009; Published: February 27, 2009
Copyright: © 2009 Al-Ejeh et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: Oncaidia Ltd funded the salary of FA for 2007, the salary of JMD as well as equipment and research. National Health and Medical Research Council Research also supplied funding through Project Grant ID511303. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: FA, JMD, and MPB are named as inventors on patent applications, which are licensed to Oncaidia. FA and MPB are members of the scientific advisory board of Oncaidia.
Neoplasia results from an imbalance between rates of cellular proliferation and survival in a tissue . Successful antineoplastic treatment controls tumor growth by inhibiting cellular proliferation and/or survival. Ideally, precise multi-parametric measures of cellular proliferation and survival in vivo may enable patient outcomes to be determined earlier than conventional measures allow .
Most patients with metastatic malignancy are not curable, and may be treated with systemic cytotoxic chemotherapy to palliate cancer-related symptoms and/or to prolong life. Most cytotoxic regimens comprise DNA-damaging drugs, and tumor response rates are generally less than 50%. To know if chemotherapy is working, patients are usually scanned after two or three cycles (or six to nine weeks) of treatment with computed tomography (CT) to assess lesion size by Response Evaluation Criteria in Solid Tumors (RECIST). Apart from evident clinical improvement, CT evidence of lack of progression may indicate that treatment is effective and may be used in the decision to continue treatment. To minimize patient exposure to potentially toxic and ineffective treatment, therapy monitoring technologies are being developed –. Among these technologies, 18F-fluorodeoxyglucose-positron emission tomography (FDG-PET) is closest to widespread clinical acceptance , , . However, it should be noted that FDG uptake in vivo is non-specific and is a composite measure of several biological processes. For example, FDG may be taken up by inflammatory as well as neoplastic tissues . Furthermore, loss of tumor uptake of FDG within hours of treatment of gastro-intestinal stromal tumor with imatinib  or of non-small lung cancer with gefitinib  represents reduced glucose utilization rather than tumor cell death . In some malignancies, tumor uptake of FDG may best be considered as a measure of cell viability rather than as a direct measure of cell death or of the proliferative status of tumor cells.
An unmet medical need exists for robust, minimally invasive, and universally applicable measures of early tumor response to anti-cancer treatment. Molecular imaging methods, in particular, may yield personalized and real-time assays of biologically significant processes such as apoptosis. Fusion of PET images with CT or magnetic resonance images provides precise and quantitative data, and delivers three-dimensional representations of the essential anatomic and pathophysiologic heterogeneity of many tumors , . Importantly, commercial imperatives are driving the use of therapy monitoring technologies to streamline “go/no go” decision making in the protracted and costly exercise of drug development . As stated recently: “Real-time imaging of cell death would be a coveted application with which to assess the efficacy of cytotoxic drugs and, potentially, to monitor the toxicity of these drugs in normal tissues” .
Radiolabeled recombinant annexin V, which binds phosphatidylserine everted on the exterior surface of apoptotic cells, has been investigated extensively as an in vivo marker of apoptosis –, although annexin V also detects necrotic cells . However, the small size and short biologic half-life of annexin V limit its utility as a marker of therapy response. Moreover, earlier clinical development of radiolabeled annexin V (as Apomate®) was stalled because a one-to-one correspondence between 99mTc- 6-hydrazinopyridine-3-carboxylic acid-(HYNIC)-annexin V uptake and radiologic response to cancer chemotherapy was not found .
Notwithstanding the importance of apoptosis as a mode of cancer cell death , the response of carcinomas to antineoplastic treatment commonly takes days to weeks and may derive significant contributions from other processes such as necrosis, autophagy, mitotic catastrophe, and cell senescence , . Irrespective of the pathway to tumor cell death, dead cells remain a common feature of many malignancies , , and may increase in number after primary chemotherapy ,  despite evasion of apoptosis being recognized as a hallmark of cancer . Recently, the view has emerged that defective ‘waste disposal’, which is the phagocytic clearance of dead cells, contributes to the generation of autoantibodies including those with La/SSB specificity in systemic autoimmune diseases . Similarly, inefficient and/or saturated clearance mechanisms may produce in tumours an excess of dead cells, which have lost cell membrane integrity allowing purposeful entry of diagnostic or therapeutic antibodies .
Recently, we discovered that a La-specific monoclonal antibody (mAb) behaved as a malignancy-associated cell death ligand that preferentially binds apoptotic malignant cells . During apoptosis, the La antigen translocates from nucleus to cytoplasm , and is fixed in dying cells by transglutaminase 2 (TG2) . As cell membrane integrity is lost during the late phase of apoptosis, cytoplasmic La becomes accessible to binding by specific mAb, which in turn becomes crosslinked in the dying cell by TG2 so that its levels are higher than in dead cells of the counterpart primary cell type . Studies in EL4 tumor-bearing mice show that, after cytotoxic chemotherapy, binding of this La-specific mAb to tumors was specific and saturable with low accumulation in normal organs . The La-specific DAB4 clone, which is represented by the APOMAB® trademark, originated from a murine autoantibody . The antigen-binding domain of DAB4 has been cloned, sequenced, expressed, and found to bind with low nanomolar affinity to a La epitope, which is highly conserved between humans and rodents (Al-Ejeh et al., unpublished data).
Selective in vivo targeting of La favors two major applications of this technology in cancer diagnosis and treatment. First, La-directed radioimmunoscintigraphy may detect early tumor responses to antineoplastic treatment particularly with DNA-damaging drugs and ionizing radiation. Second, La-directed radioimmunotherapy may act by radiation-induced bystander killing of neighboring tumor cells and may be enhanced by radiosensitizing drugs. Here, we describe in vivo studies in which we use radioimmunoscintigraphy to show that tumor accumulation of an optimally prepared immunoconjugate of the La-specific mAb, DAB4 , correlates not only with biomarkers of tumor cell apoptosis but also with extended survival of tumor-bearing mice after escalated doses of chemotherapy.
The Animal Ethics Committee of the Institute of Medical and Veterinary Sciences gave approval for use of the mice. In the use and care of the mice, we followed the humane research principles of replacement, reduction and refinement endorsed by the National Health and Medical Research Council of Australia. Replacement was not possible because there were no alternative techniques to tumor-bearing mice. We achieved a reduction in the numbers of animals used through improved experimental design. Refinement of procedures to improve the welfare of the animals, such as use of analgesics, avoiding significant adverse effects, and enhanced housing conditions, were adopted.
Antibody production, purification and radiolabeling
Protein-G-purified murine mAb from cultures of La-specific DAB4 (IgG2aκ) or control Sal5 (isotype-matched) hybridomas ,  were conjugated to 1,4,7,10-tetraazacyclododedane-N,N′,N″,N‴-tetraacetic acid mono-(N-hydroxysuccinimidyl) (DOTA-NHS) ester and radiolabeled with Indium-111 (111In) , . Radioactivity was measured using the Cobra 5010 gamma counter (PerkinElmer Inc., Wellesley, MA), which was normalized for Indium-111 counting using a 100–350 keV counting window. F(ab)2 fragments were prepared using agarose-immobilized pepsin according to the manufacturer's instructions (Pierce, IL).
EL4 lymphoma model
We adopted the well-characterized EL4 lymphoma model of apoptosis induction  with modifications as described . Briefly, 106 EL4 cells were inoculated subcutaneously in the right flank of 6–8 week-old syngeneic C57BL/6 (B6) mice.
C57BL/6 mice with 1 week-old EL4 tumor implants were untreated or given 25 mg/kg cyclophosphamide and 19 mg/kg etoposide (full-dose chemotherapy) by intraperitoneal injection (IPI). 111In-DOTA-DAB4 was given by intravenous injection (IVI) via the tail vein to tumor-bearing mice with or 24 h after chemotherapy, and an organ assay was performed . Briefly, radioactivity in counts per minute (cpm) of harvested organs was divided by the mass to give cpm/g. Then, organ accumulation was expressed as the injected dose per gram (%ID/g) of tissue, which was calculated as the percentage of mass-normalized counts to the total counts (cpm) of 111In-DOTA-DAB4 at time 0.
Scintigraphic imaging of EL4 tumors
111In-DOTA-DAB4 was administered i.v. (24 h after chemotherapy) to each of the following groups of mice: no chemotherapy - control mice with 4 day-old EL4 tumor implants; half dose chemotherapy - mice with 5 day-old EL4 tumor implants; and full dose chemotherapy - 7 day-old EL4 tumor implants. This protocol allowed for comparison of animals with size-matched tumors, a methodology that mimics clinical practice. Mice were euthanized by asphyxiation following anesthetic overdose. At 48 h after radioligand injection, whole body static images were acquired for 18 min. using a scintigraphic gamma camera (Starcam 300 M; GE, USA). After imaging, organ assays were done . The same procedure was used for 111In-labeled F(ab)2 fragments in separate experiments, except that D-lysine (40 mg/mL saline) was administered 30 min. before radiotracer injection, and then every 1 h thereafter for a total of 5 injections .
EL4-tumor bearing mice were grouped as untreated control, or treated with half-dose or full-dose chemotherapy. Bidimensional tumor measurements using calipers were made every second day, and tumor volume was calculated using the formula: largest diameter×[shortest diameter]2/2. Mice were euthanized by cervical dislocation when tumors reached 500 mm3. Kaplan-Meier plots were used to derive the median survival time using software (GraphPad Prism v.4.0).
Ex vivo studies on EL4 tumors
Tumors were finely minced with scissors into pieces <10 mm3, and a weighed proportion (0.1 g) of tumor mince was suspended in collagenase Type 1 in Hanks' Buffered Salt Solution (HBSS) (10 mL; 2 mg/mL) containing 2.5 mM Ca2+. Suspensions were incubated at 37°C with constant rotation for 1 h. Digested tumor cell suspensions were passed sequentially through a series of needles (in order of 19G, 23G, and 25G) to remove coarse materials, and then the last filtrate was centrifuged at 350×g for 5 min. Pellets were washed with HBSS (10 mL), resuspended in HBSS (1 mL), and aliquots (100 µL) stained for 30 min. at room temperature (RT) in duplicate with either Sal5 or DAB4 (5 µg/mL). Cells were washed twice with phosphate buffered saline (PBS), and incubated with rabbit anti-mouse IgG Alexa488 antibody (2 µg/mL) for 30 min. at RT in the dark. Cells were washed thrice with PBS, resuspended in 7-Amino-Actinomycin D (7-AAD) (2 µg/mL), and analyzed 10 min. later using a FACScan (BD Biosciences, San Jose, CA).
Apoptosis was detected in tumors by immunohistochemical analysis of caspase-3 activation and cleavage of poly ADP-ribose-1 (PARP-1). EL4 tumor-bearing mice were either untreated (control) or treated with half- or full-dose chemotherapy. At 0, 24, 48 and 72 h, tumors were fixed in 10% formalin in PBS, bisected, then each half was embedded in paraffin and sectioned. Sections were stained with hematoxylin and eosin (H&E) or rabbit IgG raised against either activated caspase-3 (1 µg/mL, Chemicon-Millipore, MA) or cleaved PARP-1 (1∶100 of stock, Promega, WI), and subsequently stained with biotin-conjugated anti-rabbit IgG antibody (1 µg/mL; Rockland Inc., PA) followed by streptavidin-horse radish peroxidase (HRP) (1 µg/mL). Entire sections were scanned using the DotSlide acquisition program (Soft Imaging System, Olympus, Tokyo, Japan) on a DotSlide BX51 Olympus light microscope (Olympus) at 20× magnification.
Scanned tumor sections were visualized using OlyVIA (Olympus Viewer for Imaging Applications) software, and images of entire sections or 6 random regions at 10× or 20× were obtained for analysis using analySIS® software (Soft Imaging System, Olympus). Phase color analysis was performed for all images using pixels to define the different phases: viable cells were defined by blue-counterstained nuclei, apoptotic cells were defined by brown staining from 3, 3′-diaminobenzine (DAB) deposition, and necrotic areas were defined as faint blue areas, which lacked appropriate nuclear morphology. For counting of necrotic cells, and activated caspase-3+ and cleaved PARP-1+ cells, tumors were bisected, and two images were captured from each tumor section to generate a total of 8 images from each tumor. In each case, numbers of necrotic, activated caspase-3+ and cleaved PARP-1+ cells were divided by the number of viable cells, and then expressed as percentages.
Co-localization studies of tumor-bound DAB4, activated caspase-3 and cleaved PARP-1 were based on immunofluorescence detection. Mice were given 100 µg DAB4-biotin or 100 µg Sal5-biotin (negative control) i.v. 24 h after chemotherapy, and tumors were dissected 24 h later. Tumor-bound DAB4-biotin was detected by confocal microscopy using streptavidin-Alexa488 (1 µg/mL). Activated caspase-3 and cleaved PARP-1 were detected using specific rabbit IgG followed by Alexa546-conjugated goat anti-rabbit IgG (2.5 µg/mL, Molecular Probes-Invitrogen, CA). Stained tumor sections were mounted using ProLong Gold antifade reagent (Molecular Probes), and slides were analyzed using an Olympus confocal microscope (Bio-Rad; Hercules, CA) with appropriate filters and under constant conditions of laser voltage, iris aperture, and photomultiplier tube amplification.
Statistical analysis was performed with GraphPad Prism v4.0 software. Unless otherwise stated, intergroup comparisons were made by two-way analysis of variance (ANOVA), with p<0.05 being considered significant. Kaplan-Meier median survival curves were compared using log-rank Mantel-Cox test, with p<0.05 being considered significant.
Effects of chemotherapy on biodistribution of 111In-DOTA-DAB4 in EL4 lymphoma bearing mice, schedule, and antigen specificity
Previously, we reported antigen-specific and chemotherapy-dependent accumulation in EL4 lymphomas of 111In-labeled La-specific mAb, which was injected immediately after chemotherapy . Now, we find that when 111In-DOTA-DAB4 was injected 24 hours after chemotherapy, it accumulated more rapidly in EL4 tumors as it cleared more quickly from blood (Figure 1). In EL4 tumor-bearing mice, the blood clearance half-life of 111In-DOTA-DAB4 was 19.8±0.2 hours (Figure 1A), which was unchanged (19.8±0.3 hours) by giving 111In-DOTA-DAB4 immediately after chemotherapy (Figure 1B). In contrast, giving 111In-DOTA-DAB4 24 hours after chemotherapy accelerated its blood clearance with a half-life of 9.2±0.1 hours, and significantly hastened its tumor accumulation with a half-life of 4.1±0.2 hours compared with 18.6±0.3 hours if 111In-DOTA-DAB4 was injected immediately after chemotherapy (P<0.001) (Figure 1C).
Biodistribution of 111In-DOTA-DAB4 in EL4 tumor-bearing mice (n = 5/group), which were A, untreated, or B and C, treated with Chemo (19 mg/kg etoposide and 25 mg/kg cyclophosphamide i.p.i.), and given i.v. 111In-DOTA-DAB4 A, alone, B, immediately after Chemo, or C, 24 h after Chemo. At 0, 3, 24, 48, and 72 h post-111In-DOTA-DAB4, organ assays were used to calculate mean percentage of injected dose per gram of tissue (%ID/g; as described in Methods). Indicated are regression coefficient (r2) values for curves fitted to clearance and accumulation data using one-phase exponential decay and association models, respectively. Blood clearance and tumor accumulation were accelerated by delaying i.v. 111In-DOTA-DAB4 until 24 h post-chemo. Error bars for all graphs; ±SEM.
Similarly, administering 111In-DOTA-DAB4 immediately after chemotherapy did not alter its uptake in normal organs compared with the same uptake in control mice. In contrast, giving 111In-DOTA-DAB4 24 hours after chemotherapy reduced normal organ uptake to levels significantly lower than in control mice (see Figure S1 online).
Comparisons of tumor accumulation of 111In-DOTA-DAB4 with fluorocytometric analysis of tumor cell death and ex vivo tumor cell binding of DAB4
To examine the effect of chemotherapy on the frequency of EL4 tumor cell death and the intensity of ex vivo binding of DAB4 to dead tumor cells, we analyzed single tumor cell suspensions, first from control tumors. Here, the frequency of dead 7-AAD+ cells increased moderately over 96 hours (Figure 2A) whereas per cell ex vivo binding of DAB4 increased marginally (Figure 2B). In contrast, chemotherapy not only markedly increased the frequency of dead tumor cells (Figure 2A) but also produced a cumulative increase in DAB4 binding to each dead tumor cell (Figure 2B), and suggested that DNA-damaging drugs induced tumor cell expression of La in vivo.
EL4 tumor-bearing mice were untreated (Control) or treated with 19 mg/kg etoposide and 25 mg/kg cyclophosphamide i.p.i. (Chemo) (n = 3/group). Single cell suspensions were prepared from tumors and stained in duplicate with 7-AAD alone, or with 7-AAD and Sal5 or DAB4. Fluorocytometric analysis revealed levels of tumor cell death (%7-AAD+ cells) and of DAB4 binding to 7-AAD+ dead tumor cells. A, mean %7-AAD+ (±SEM) tumor cells, *** P<0.001 versus control. B, La-specific binding to 7-AAD+ tumor cells was measured as net mean fluorescence intensity (MFI) (±SEM) of DAB4 binding after subtraction of MFI for Sal5 binding,* P<0.05, *** P<0.001 versus control. C and D, in a separate study, in vivo tumor accumulation of DAB4 mAb itself (as %ID/g) was calculated after correction for physical radio-decay of Indium-111 and plotted against values either for C, %7-AAD+ tumor cells or D, ex vivo binding of DAB4 to 7-AAD+ tumor cells.
Intratumoral accumulation of the DAB4 mAb itself was determined after correction for the physical decay of Indium-111. In control tumors during the 96-hour observation period, the frequency of dead 7-AAD+ cells increased from 26±3 to 46±2% (Figure 2A) in parallel with the increase in DAB4 tumor accumulation from 17±1 to 34±4% of the injected dose per gram of tumor tissue (see Figure S2 online). In contrast, at 72–96 hours after chemotherapy, tumor accumulation of DAB4 reached a plateau at approximately 75–80% of the injected dose per gram of tumor tissue (Figure 2C). However, tumor accumulation of DAB4 tended to track the extent of ex vivo binding of DAB4 (Figure 2D) rather than reflect the frequency of tumor cell death (Figure 2C).
Immunohistochemical analysis of EL4 tumor caspase-3 activation and PARP-1 cleavage and immunofluorescence analysis of in vivo tumor binding of DAB4
Chemotherapy induced dose-dependent caspase-3 activation and PARP-1 cleavage in tumors of EL4 lymphoma-bearing mice (Figure 3). Immunohistochemical analysis indicated that tumor activation of caspase-3 became most evident 24 hours after a full dose of chemotherapy (Figure 3A) whereas PARP-1 cleavage was best identified 96 hours post-chemotherapy (Figure 3B). Imaging software and phase color analysis were used to quantify these differences (Figure 3C). For example, as control tumors grew over 96 hours, areas of central necrosis (coded black, Figure 3C) expanded in tandem with the increased control tumor content of 7-AAD+ cells (Figure 2A). Next, we investigated the physical relationship between stages of apoptosis and the in vivo binding to apoptotic EL4 tumor cells of DAB4, which was antigen specific (data not shown). In this experiment, tumor-bearing mice were given injections of DAB4-biotin 24 hours after chemotherapy, and tumors were harvested for immunofluorescence analysis 24 hours later (i.e. 48 hours after chemotherapy). As illustrated in Figure 3D, DAB4 was observed to be intimately related to cell remnants containing cleaved PARP-1 rather than activated caspase-3, suggesting that DAB4 mainly bound EL4 tumors via its binding of late apoptotic cells.
Mice (n = 3/group) were untreated (Control) or treated i.p. with 9.5 mg/kg etoposide and 12.5 mg/kg cyclophosphamide (Half chemo) or 19 mg/kg etoposide and 25 mg/kg cyclophosphamide (Full chemo). Formalin-fixed paraffin-embedded tumor sections were prepared for immunohistochemical detection and phase color analysis. Shown are representative photomicrographs at 24 h or 96 h post-chemo of A, activated caspase-3, and B, cleaved PARP-1. C, shown are representative images of phase color analysis, which are pseudo-colored: viable cells (red); necrotic cells (black); activated caspase-3+ (green). D, representative confocal fluorescence microscopy images of EL4 tumor sections from n = 3 mice showing co-staining of DAB4 (green) and (left-hand panels) activated caspase-3 (red) or (right-hand panels) cleaved PARP-1 (red) 24 h after i.v. biotinylated DAB4, which in turn was given 24 h after full chemo. Scale bar, 20 µm. DAB4 localized with late apoptotic cells.
Gamma camera imaging of EL4 tumor uptake of 111In-DOTA-DAB4 after chemotherapy
The tumor response to chemotherapy was evaluated using γ-scintigraphy of the radiotracer in untreated mice and mice treated with half- or full-dose chemotherapy. To simulate a clinical scenario, tumor growth was staggered to match tumor sizes (Figure 4A) so that mean values for tumor volume or weight among the experimental groups were not significantly different. As clinical gamma camera images of size-matched tumors of control and treated mice show in Figure 4B, tumor uptake of 111In-DOTA-DAB4 (given 24 hours after chemotherapy) increased as the chemotherapy dose increased. These visual data correlated both with the quantitative biodistribution data (Figure 4C) and the semi-quantitative planar estimate of radioactivity (inset, Figure 4C). Chemotherapy-induced tumor targeting of 111In-DOTA-DAB4 was not a passive phenomenon because both γ-scintigraphy and γ-counting showed that the isotype control, 111In-DOTA-Sal5, accumulated significantly less in tumors irrespective of the use of chemotherapy (Figure 4D).
A, as described in Methods, growth of EL4 tumors in untreated control mice was staggered so that tumor sizes matched those in mice treated with half- or full-dose chemotherapy. B, representative clinical gamma camera images (arrow, tumor; asterisk, central blood pool) of n = 3 mice. Mice bearing size-matched EL4 tumors were untreated (Control) or given i.v. 111In-DOTA-DAB4 24 h after 9.5 mg/kg etoposide and 12.5 mg/kg cyclophosphamide (Half chemo) or 19 mg/kg etoposide and 25 mg/kg cyclophosphamide i.p.i. (Full chemo) and 48 h later, mice were imaged. C, chemotherapy dose effects on biodistribution of 111In-DOTA-DAB4 72 h post-chemotherapy. Mice bearing size-matched EL4 tumors were treated as described in B, given i.v. 111In-DOTA-DAB4 24 h after chemotherapy, and 48 h later, killed for gamma counting of tumors and organs (n = 3/group). Accumulation of DAB4 is shown as mean %ID/g (±SEM). As indicated, Chemo induced significant dose-dependent tumor accumulation of 111In-DOTA-DAB4 (P<0.001 versus Control). Inset, graph depicts mean counts/pixel (±SEM) after region of interest (ROI) analysis of the imaged mice (n = 3/group). ROI were drawn around tumors, and the gamma camera-detected counts, which were obtained using image acquisition software, were divided by the ROI area measured in pixels; **, P<0.01, ***, P<0.001 versus other treatments as indicated. D, biodistribution of 111In-DOTA-DAB4 and 111In-DOTA-Sal5 72 h post-chemotherapy. EL4 tumor-bearing mice (n = 3/group) were given i.v. 111In-labeled Sal5-DOTA or DAB4-DOTA without chemo (Control) or 24 h after Full chemo. Gamma radioactivity was imaged as described in B, and counted as described in C, 48 h after radioligand administration. Inset, representative clinical gamma camera images (arrow, tumor; asterisk, central blood pool). Tumor accumulation of DAB4 was antigen-specific irrespective of Chemo use (p<0.001 versus Sal5).
Comparisons of indices of tumor cell apoptosis with tumor accumulation of 111In-DOTA-DAB4 and survival of EL tumor-bearing mice
Immunohistochemical and phase color analyses of tumor sections (Figure 3) were used to derive indices of early or late apoptosis (Figure 5) and of necrosis (see Figure S3 online). After full-dose chemotherapy, the early apoptotic index marked by caspase-3 activation peaked at 4.5%, 24 hours post-chemotherapy (upper panel, Figure 5A), the late apoptotic index marked by PARP-1 cleavage peaked at 35–40%, 48–96 hours post-chemotherapy (upper panel, Figure 5B), whereas the necrotic index remained at 15–20% during the same 48–96 hour period (see Figure S3 online). As caspase-3 activation is early and transient, a cumulative early apoptotic index was determined as the area under the curve generated from results of individual caspase-3 activation assays. Peak EL4 tumor accumulation of 111In-DOTA-DAB4 (at 72 hours post-chemotherapy), which was measured as imaged or counted gamma radioactivity, correlated directly with both the cumulative early apoptotic (lower panel, Figure 5A) and late apoptotic indices (lower panel, Figure 5B) but correlated inversely with the necrotic index (see Figure S3 online). The survival of EL4-tumor bearing mice also directly depended on chemotherapy dose so that doubling the dose of chemotherapy significantly extended the survival of tumor-bearing mice (Figure 5C upper panel). Moreover, just as tumor gamma counts from 111In-DOTA-DAB4 accumulation correlated directly with indices of apoptosis so the counts correlated directly with the median survival time of treated mice (lower panel, Figure 5C).
EL4 tumor-bearing mice were untreated (Control) or treated with half- or full-dose chemotherapy. Early and late apoptotic cells were identified in tumor sections by staining for activated caspase-3 and cleaved PARP-1, respectively. Using phase color analysis, apoptotic cells were counted and expressed as a percentage of viable cell number to create an apoptotic index. Upper row of panels show time courses of A, early apoptotic index, and B, late apoptotic index, or C, Kaplan-Meier survival analysis of control mice and treated mice (** P<0.01 for half-dose chemotherapy versus control, * P<0.05 half-dose chemotherapy versus full-dose chemotherapy). In the lower row of panels, peak tumor accumulation of DAB4, which was measured using either gamma counting (%ID/g) or gamma camera imaging (counts/pixel) 72 h post-chemotherapy, was plotted as a function of A, the cumulative early apoptotic index, which represented mean %(number of activated caspase-3+ cells×h)/(number of viable cells)±SEM (n = 3/group), or B, the late apoptotic index, which represented mean %(number of PARP-1+ cells)/(number of viable cells)±SEM at 72 h (n = 3/group), or C, the median survival time (n = 5/group). Regression coefficients (r2) for fitted lines are displayed in brackets next to each curve. Chemotherapy-induced tumor apoptosis correlated with both tumor accumulation of DAB4 and survival of tumor-bearing mice.
Gamma-scintigraphic detection of tumor apoptosis in vivo using fragments of DAB4
Antibody fragments are often used as imaging probes because washout of the probe is sufficiently slow to allow tumor accumulation but rapid enough to provide an adequate tumor to background ratio . Accordingly, our earlier studies demonstrated that the 111In-labeled F(ab)2 fragment of the La-specific mAb generated a higher tumor to blood ratio than the full-length mAb because of its faster blood clearance. As shown in Figure 6, the response of EL4 tumors to chemotherapy was specifically detected using DAB4-F(ab)2, and the co-injection of D-lysine significantly lowered renal uptake. Static images indicate that tumor uptake of the F(ab)2 fragment was antigen-specific and increased by co-administration of D-lysine, which reduces renal tubular reabsorption of antibody fragments (Figure 6A). These data were confirmed by measurement of gamma counts in an organ assay (Figure 6B&C).
DOTA-conjugated F(ab)2 fragments of Sal5 or DAB4 were 111In-labeled and given i.v.i. to untreated (control) or treated EL4 tumor-bearing mice 24 h after full-dose chemotherapy. Some mice receiving F(ab)2 fragments also received regular D-lysine injections. Mice were imaged with a gamma camera 24 h after radioligand administration, and then killed to measure gamma counts in tumors and normal organs. A, shown are representative gamma camera images of n = 3 mice. Accumulation of radioligand is shown as mean %ID/g±SEM (n = 3/group) for F(ab)2 forms of Sal5 and DAB4 B, without or C, with co-injection of D-lysine at 24 h (* P<0.05, ** P<0.01, *** P<0.001 for DAB4 versus Sal5). Antigen-specific and chemotherapy-dependent tumor accumulation of DAB4 occurred independently of the Fc fragment.
Our results indicate that the DAB4 mAb, which binds the RNA-binding protein La/SSB, accumulates selectively in tumors after tumor-bearing mice are treated with cytotoxic chemotherapy. We have previously proposed that nuclear RNA-binding proteins contained within apoptotic cancer cells may be useful molecular targets for cancer diagnosis or therapy . This hypothesis is based on the abundance and overexpression of this class of protein in malignant cells as well as their retention and accessibility during apoptosis –. In vitro studies showed that the ubiquitous and exceedingly abundant ribonucleoprotein, La/SSB , which is essential for early mammalian development , has properties that distinguish it from other cytoplasmic and nuclear antigens during the malignant cell death caused by DNA-damaging treatment . La acts as a molecular chaperone for transfer and ribosomal RNA species generated by RNA polymerase III, which is overactive in malignancy . In addition, La may be involved in coupling of transcription and translation . We discovered that La is overexpressed in malignancy and actively induced in apoptotic malignant cells in response to DNA-damaging treatment . La overexpression in malignancy is consistent with the increased ribosomal biogenesis and protein synthesis that are invariant features of malignancy , and associated with overexpression of RNP in the nucleolus, the ribosome factory of the cell .
Other properties of the La antigen may also help to explain its identification as a specific marker of tumor apoptotic response. During DNA-damaging treatments such as cisplatin  and γ-radiation (Al-Ejeh et al., unpublished observations), higher levels of La antigen are detected and co-localize with the γH2AX marker of DNA double-stranded break formation in malignant cells in vitro , suggesting that La is involved in early DNA-damage responses. Interestingly, in support of the claim that La-specific antibody detects cells dying as a result of DNA-damage, immunofluorescence was not a sensitive enough technique to detect binding of this La-specific mAb to spontaneously apoptotic LNCaP prostatic carcinoma cells in vivo . In contrast, we found that La-specific mAb specifically accumulates in DNA-damaged and dying human cancer cell lines in a time- and dose-dependent manner. Lastly, La antigen is crosslinked in dead malignant cells by transglutaminase 2, and this protein crosslinking extends to include fixation of the La-bound mAb itself so that its levels are higher than in dead primary cells .
The EL4 lymphoma model was chosen because cyclophosphamide/etoposide treatment induces robust tumor apoptosis . The results from our kinetic studies indicate that chemotherapy itself did not affect the blood clearance half-life of 111In-DOTA-DAB4 in tumor-bearing mice. Therefore, it is unlikely that chemotherapy resulted in significant shedding of the DAB4 target antigen into the blood of tumor-bearing mice. However, the administration of 111In-DOTA-DAB4 24 hours after chemotherapy did significantly accelerate the rate of DAB4 tumor accumulation, which may have resulted in the enhanced clearance of DAB4 from blood and normal organs. The increased tumor binding of 111In-DOTA-DAB4 is proposed to have resulted from a significant increase in the number and strength of DAB4 binding targets, which was related to both the post-chemotherapy number of dead tumor cells as well as the extent to which the La autoantigen was induced in each dying cell.
The immunohistologic analyses defined the dynamics of the apoptotic response of EL4 tumors to chemotherapy. Caspase-3 activation occurred within the first 48 hours of treatment, and peaked 24 hours post-chemotherapy. Subsequently, the level of caspase-3-mediated cleavage of PARP-1 reached a maximum 96 hours post-chemotherapy, which is when ex vivo binding of DAB4 to dead EL4 cells was maximal.
Both caspase-3 activation and PARP-1 cleavage as early and late markers of apoptosis, respectively, increased directly as a function of chemotherapy dose. However, after full-dose chemotherapy, fewer than 5% of tumor cells contained activated caspase-3, whereas cleaved PARP-1 was detected in up to 40% of tumor cells. Similarly, the time-dependent cleavage of PARP-1 followed the rapid and transient activation of caspase-3 after cytotoxic drug treatment or ionizing radiation in vitro (data not shown). These studies illustrate the difficulty of capturing in vivo the dynamic elements of the apoptotic process such as caspase-3 activation, a difficulty that is manifest clinically. For example, frequent invasive sampling of tumor tissue was required to demonstrate that increases in apoptotic index predicted pathologic responses of breast cancer to neoadjuvant chemotherapy , .
Scintigraphic imaging of control and treated mice indicated that tumor accumulation of 111In-DOTA-DAB4 was influenced by the chemotherapy regimen in a linear dose-dependent manner. In stark contrast, the chemotherapy had no significant effect on the radioligand distribution to harvested organs. After chemotherapy, although the significantly greater tumor accumulation of 111In-DOTA-DAB4 than 111In-DOTA-Sal5 indicated the antigen-specific nature of antibody tumor targeting, twice as much of the injected dose of 111In-DOTA-Sal5 accumulated in the tumors of treated mice than untreated mice. However, similar observations were not made for the F(ab)2 fragments of Sal5, which suggests that the non-specific tumor accumulation of Sal5 IgG after chemotherapy may be Fc-dependent.
Tumor accumulation of DAB4 was linearly related to the increase in cleaved PARP-1 within EL4 tumors. Furthermore, biotinylated DAB4 injected into treated mice localized best in EL4 cell remnants associated with cleaved PARP-1. Given that tumor accumulation of DAB4 most directly reflects pathologic markers of late rather than early apoptosis, we argue that 111In-DOTA-DAB4 is a specific radioligand to detect the enduring tumor response to effective DNA-damaging chemotherapy.
The results also demonstrate that the highest dose of chemotherapy resulted in the highest tumor accumulation of radioligand, and this dose ultimately extended the survival of tumor-bearing mice. Therefore, we infer that a diagnostic radioligand such as 111In-DOTA-DAB4 can predict the survival of tumor-bearing mice after DNA-damaging and apoptosis-inducing chemotherapy.
Finally, as useful imaging agents require a high tumor to background ratio, we conducted scintigraphic and organ assays of 111In-labeled F(ab)2 fragments of DOTA-DAB4. Whole IgG versions of radioligands tend to have protracted blood pool activity and reduced tissue penetration whereas the shorter circulatory half life and increased tissue penetration of antibody fragments may produce more effective imaging agents. The results indicate that although tumor accumulation of F(ab)2 fragments of DAB4 was both antigen specific and chemotherapy dose-dependent, the circulatory half life, residence time in normal organs, and absolute levels of tumor accumulation of radiolabeled DAB4 fragments all significantly diminished in comparison with the parental DAB4 mAb. Nevertheless, protein engineering techniques together with modifications in the schedule of radioligand administration may be used to optimize the imaging performance characteristics of DAB4 fragments and ensure efficient therapy monitoring.
We found that giving 111In-DOTA-DAB4 24 hours after chemotherapy significantly reduced its normal organ accumulation. This observation may be explained by the enhanced tumor uptake of 111In-DOTA-DAB4 seen 24 hours after chemotherapy resulting in its accelerated blood clearance, and thus the diminished blood pool of 111In-DOTA-DAB4 available to bathe normal organs. Hence, we believe that scheduling the injection of 111In-labeled DAB4 fragments at least 24 hours after cytotoxic chemotherapy maximizes the opportunity to obtain an effective radioimmunoscintigraphic agent with a high tumor to background ratio because the target for DAB4 binding may be revealed differentially among the apoptotic cells of normal and malignant tissues. As was discovered in the jejunal apoptosis model, chemotherapy-induced apoptosis in normal tissues runs a shorter (24–36 hour) time course  than the several days (at least) apparent in malignant tissues . Differences in the time course of chemotherapy-induced apoptosis between normal and malignant tissues may happen in part because phagocytosis of apoptotic cells is efficient in normal tissues  but inefficient in malignant tissues because an excess of apoptotic cells seems to overwhelm clearance mechanisms .
In vivo measurements of cell death, proliferation, metabolism and hypoxia in a multi-parametric design may hold higher prognostic and predictive value than single measurements and could provide surrogates for clinically meaningful endpoints . Ideal cancer therapy monitoring technologies are rapid, robust, and minimally invasive. They reflect tumor heterogeneity, and yield quantitative real-time data about biologically significant processes like apoptosis.
In conclusion, as a late apoptotic malignant cell-death ligand, the La-specific DAB4 mAb detected the heightened and enduring tumor cell-death response resulting from DNA-damaging treatment. Thus, these preclinical data encourage future development of clinically applicable imaging methods for the detection of DNA damage-related tumor cell death arising from treatments such as cytotoxic chemotherapy and ionizing radiation.
Delaying the injection until 24 hours after chemotherapy accelerated the blood clearance and tumor accumulation of the radioligand. B6 mice bearing syngeneic EL4 tumors were untreated or treated with full-dose chemotherapy, and given intravenous injections of 111In-DOTA-DAB4 alone (clear columns), immediately after chemotherapy (striped columns), or 24 h after chemotherapy (filled columns). Mice were killed at A, 3, B, 24, C, 48, and D, 72 h after injection of 111In-DOTA-DAB4 to measure its accumulation in blood, normal organs and tumors, which was calculated as the percentage of mass-normalized counts per minute (cpm) to total cpm of the injected dose at time 0 (%ID/g). Data shown are mean %ID/g±SEM (n = 5), * P<0.05, ** P<0.01, and *** P<0.001 versus control mice (2-way ANOVA).
(0.05 MB DOC)
Expression of La in dead cells in EL4 tumors correlated with the accumulation of DAB4 in vivo. Single tumor cell suspensions from untreated mice were stained with A, 7-AAD alone or B, 7-AAD and Sal5 or DAB4 to determine the specific binding of DAB4 to dead cells. In a separate study, accumulation of DAB4 mAb itself within tumors in vivo was calculated using values for 111In-DOTA-DAB4 accumulation after correction for physical radio-decay of Indium-111. Tumor accumulation of DAB4 as %ID/g was plotted against A, tumor cell death measured using 7-AAD uptake or B, the ex vivo binding of DAB4 to 7-AAD+ dead cells.
(0.03 MB DOC)
Accumulation of 111In-DOTA-DAB4 correlated inversely with tumor necrosis. EL4 tumor sections from untreated (control) and treated mice were stained with H&E and phase color analysis used to determine regions of necrosis. A, Average necrotic index (±SEM, n = 3) was calculated as the percentage of necrotic areas to viable areas at 0, 24, 48, 72, and 96 h. B, Tumor accumulation of 111In-DOTA-DAB4 was measured using gamma counting (%ID/g) or gamma camera imaging (counts/pixel) and plotted as a function of the necrotic index at 72 h.
(0.03 MB DOC)
We are grateful to staff of both Royal Adelaide Hospital Nuclear Medicine Department and Institute of Medical and Veterinary Science (IMVS) Animal House for their support and assistance. We thank Dr Ghafar Sarvestani, Detmold Family Imaging Suite, IMVS Division of Haematology, for his expert assistance with confocal microscopy.
Conceived and designed the experiments: FAE MPB. Performed the experiments: FAE JMD CT DS JM. Analyzed the data: FAE JMD CT DS JM MPB. Contributed reagents/materials/analysis tools: FAE CT DS JM. Wrote the paper: FAE CT MPB.
- 1. Hanahan D, Weinberg RA (2000) The hallmarks of cancer. Cell 100: 57–70.
- 2. Weber WA, Czernin J, Phelps ME, Herschman HR (2008) Technology Insight: novel imaging of molecular targets is an emerging area crucial to the development of targeted drugs. Nat Clin Pract Oncol 5: 44–54.
- 3. Kartachova M, van Zandwijk N, Burgers S, van Tinteren H, Verheij M, et al. (2007) Prognostic significance of 99mTc Hynic-rh-annexin V scintigraphy during platinum-based chemotherapy in advanced lung cancer. J Clin Oncol 25: 2534–2539.
- 4. Cristofanilli M, Budd GT, Ellis MJ, Stopeck A, Matera J, et al. (2004) Circulating tumor cells, disease progression, and survival in metastatic breast cancer. N Engl J Med 351: 781–791.
- 5. Olofsson MH, Ueno T, Pan Y, Xu R, Cai F, et al. (2007) Cytokeratin-18 is a useful serum biomarker for early determination of response of breast carcinomas to chemotherapy. Clin Cancer Res 13: 3198–3206.
- 6. Weber WA (2006) Positron emission tomography as an imaging biomarker. J Clin Oncol 24: 3282–3292.
- 7. Larson SM, Schwartz LH (2006) 18F-FDG PET as a candidate for “qualified biomarker”: functional assessment of treatment response in oncology. J Nucl Med 47: 901–903.
- 8. Shankar LK, Hoffman JM, Bacharach S, Graham MM, Karp J, et al. (2006) Consensus recommendations for the use of 18F-FDG PET as an indicator of therapeutic response in patients in National Cancer Institute Trials. J Nucl Med 47: 1059–1066.
- 9. Workman P, Aboagye EO, Chung YL, Griffiths JR, Hart R, et al. (2006) Minimally invasive pharmacokinetic and pharmacodynamic technologies in hypothesis-testing clinical trials of innovative therapies. J Natl Cancer Inst 98: 580–598.
- 10. Van den Abbeele AD, Badawi RD (2002) Use of positron emission tomography in oncology and its potential role to assess response to imatinib mesylate therapy in gastrointestinal stromal tumors (GISTs). Eur J Cancer 38: Suppl 5S60–65.
- 11. Su H, Bodenstein C, Dumont RA, Seimbille Y, Dubinett S, et al. (2006) Monitoring tumor glucose utilization by positron emission tomography for the prediction of treatment response to epidermal growth factor receptor kinase inhibitors. Clin Cancer Res 12: 5659–5667.
- 12. Kelloff GJ, Krohn KA, Larson SM, Weissleder R, Mankoff DA, et al. (2005) The progress and promise of molecular imaging probes in oncologic drug development. Clin Cancer Res 11: 7967–7985.
- 13. Gwyther SJ (2006) Current standards for response evaluation by imaging techniques. Eur J Nucl Med Mol Imaging 33: Suppl 111–15.
- 14. Weissleder R, Pittet MJ (2008) Imaging in the era of molecular oncology. Nature 452: 580–589.
- 15. Green AM, Steinmetz ND (2002) Monitoring apoptosis in real time. Cancer J 8: 82–92.
- 16. Blankenberg FG, Katsikis PD, Tait JF, Davis RE, Naumovski L, et al. (1998) In vivo detection and imaging of phosphatidylserine expression during programmed cell death. Proc Natl Acad Sci U S A 95: 6349–6354.
- 17. van de Wiele C, Lahorte C, Vermeersch H, Loose D, Mervillie K, et al. (2003) Quantitative tumor apoptosis imaging using technetium-99m-HYNIC annexin V single photon emission computed tomography. J Clin Oncol 21: 3483–3487.
- 18. Corsten MF, Hofstra L, Narula J, Reutelingsperger CP (2006) Counting heads in the war against cancer: defining the role of annexin A5 imaging in cancer treatment and surveillance. Cancer Res 66: 1255–1260.
- 19. Belhocine T, Steinmetz N, Li C, Green A, Blankenberg FG (2004) The imaging of apoptosis with the radiolabeled annexin V: optimal timing for clinical feasibility. Technol Cancer Res Treat 3: 23–32.
- 20. Johnstone RW, Ruefli AA, Lowe SW (2002) Apoptosis: a link between cancer genetics and chemotherapy. Cell 108: 153–164.
- 21. Brown JM, Attardi LD (2005) The role of apoptosis in cancer development and treatment response. Nat Rev Cancer 5: 231–237.
- 22. Kahlem P, Dorken B, Schmitt CA (2004) Cellular senescence in cancer treatment: friend or foe? J Clin Invest 113: 169–174.
- 23. Leers MP, Bjorklund V, Bjorklund B, Jornvall H, Nap M (2002) An immunohistochemical study of the clearance of apoptotic cellular fragments. Cell Mol Life Sci 59: 1358–1365.
- 24. Soini Y, Paakko P, Lehto VP (1998) Histopathological evaluation of apoptosis in cancer. Am J Pathol 153: 1041–1053.
- 25. Chang J, Ormerod M, Powles TJ, Allred DC, Ashley SE, et al. (2000) Apoptosis and proliferation as predictors of chemotherapy response in patients with breast carcinoma. Cancer 89: 2145–2152.
- 26. Davis DW, Buchholz TA, Hess KR, Sahin AA, Valero V, et al. (2003) Automated quantification of apoptosis after neoadjuvant chemotherapy for breast cancer: early assessment predicts clinical response. Clin Cancer Res 9: 955–960.
- 27. Walport MJ (2001) Complement. Second of two parts. N Engl J Med 344: 1140–1144.
- 28. Tan EM, Zhang J (2008) Autoantibodies to tumor-associated antigens: reporters from the immune system. Immunol Rev 222: 328–340.
- 29. Al-Ejeh F, Darby JM, Brown MP (2007) The La Autoantigen Is a Malignancy-Associated Cell Death Target That Is Induced by DNA-Damaging Drugs. Clin Cancer Res 13: 5509s–5518s.
- 30. Ayukawa K, Taniguchi S, Masumoto J, Hashimoto S, Sarvotham H, et al. (2000) La autoantigen is cleaved in the COOH terminus and loses the nuclear localization signal during apoptosis. J Biol Chem 275: 34465–34470.
- 31. Al-Ejeh F, Darby JM, Pensa K, Diener KR, Hayball JD, et al. (2007) In vivo Targeting of Dead Tumor Cells in a Murine Tumor Model Using a Monoclonal Antibody Specific for the La Autoantigen. Clin Cancer Res 13: 5519s–5527s.
- 32. Tran HB, Ohlsson M, Beroukas D, Hiscock J, Bradley J, et al. (2002) Subcellular redistribution of la/SSB autoantigen during physiologic apoptosis in the fetal mouse heart and conduction system: a clue to the pathogenesis of congenital heart block. Arthritis Rheum 46: 202–208.
- 33. Al-Ejeh F, Darby JM, Thierry B, Brown MP (In Press) A Simplified Suite of Methods to Evaluate Chelator Conjugation of Antibodies: Effects on Hydrodynamic Radius and Biodistribution. Nuclear Medicine and Biology.
- 34. Zhao M, Beauregard DA, Loizou L, Davletov B, Brindle KM (2001) Non-invasive detection of apoptosis using magnetic resonance imaging and a targeted contrast agent. Nat Med 7: 1241–1244.
- 35. Behr TM, Sharkey RM, Juweid ME, Blumenthal RD, Dunn RM, et al. (1995) Reduction of the renal uptake of radiolabeled monoclonal antibody fragments by cationic amino acids and their derivatives. Cancer Res 55: 3825–3834.
- 36. El-Deiry WS, Sigman CC, Kelloff GJ (2006) Imaging and oncologic drug development. J Clin Oncol 24: 3261–3273.
- 37. Thiede B, Rudel T (2004) Proteome analysis of apoptotic cells. Mass Spectrom Rev 23: 333–349.
- 38. Carmo-Fonseca M, Pfeifer K, Schroder HC, Vaz MF, Fonseca JE, et al. (1989) Identification of La ribonucleoproteins as a component of interchromatin granules. Exp Cell Res 185: 73–85.
- 39. Biggiogera M, Bottone MG, Scovassi AI, Soldani C, Vecchio L, et al. (2004) Rearrangement of nuclear ribonucleoprotein (RNP)-containing structures during apoptosis and transcriptional arrest. Biol Cell 96: 603–615.
- 40. Wolin SL, Cedervall T (2002) The La protein. Annu Rev Biochem 71: 375–403.
- 41. Park JM, Kohn MJ, Bruinsma MW, Vech C, Intine RV, et al. (2006) The multifunctional RNA-binding protein La is required for mouse development and for the establishment of embryonic stem cells. Mol Cell Biol 26: 1445–1451.
- 42. White RJ (2004) RNA polymerase III transcription–a battleground for tumour suppressors and oncogenes. Eur J Cancer 40: 21–27.
- 43. Kenan DJ, Keene JD (2004) La gets its wings. Nat Struct Mol Biol 11: 303–305.
- 44. Ruggero D, Pandolfi PP (2003) Does the ribosome translate cancer? Nat Rev Cancer 3: 179–192.
- 45. Maris C, Dominguez C, Allain FH (2005) The RNA recognition motif, a plastic RNA-binding platform to regulate post-transcriptional gene expression. Febs J 272: 2118–2131.
- 46. Neufing PJ, Clancy RM, Jackson MW, Tran HB, Buyon JP, et al. (2005) Exposure and binding of selected immunodominant La/SSB epitopes on human apoptotic cells. Arthritis Rheum 52: 3934–3942.
- 47. Mason KA, Milas L, Hunter NR, Elshaikh M, Buchmiller L, et al. (1999) Maximizing therapeutic gain with gemcitabine and fractionated radiation. Int J Radiat Oncol Biol Phys 44: 1125–1135.
- 48. Wood W, Turmaine M, Weber R, Camp V, Maki RA, et al. (2000) Mesenchymal cells engulf and clear apoptotic footplate cells in macrophageless PU.1 null mouse embryos. Development 127: 5245–5252.